Optimal Siting and Sizing of Hybrid Energy Storage Systems in High-Penetration Renewable Energy Systems
As the share of renewable energy continues to increase, power grids face more complex challenges in maintaining the balance between supply and demand. Renewable energy is characterized by volatility, intermittency, and reverse peak regulation issues. These characteristics create additional difficult...
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| Format: | Article |
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MDPI AG
2025-04-01
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| Series: | Energies |
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| Online Access: | https://www.mdpi.com/1996-1073/18/9/2196 |
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| author | Peng Ruan Qili Su Liuli Zhang Jun Luo Yuanpeng Diao Li Xie Hua Zheng |
| author_facet | Peng Ruan Qili Su Liuli Zhang Jun Luo Yuanpeng Diao Li Xie Hua Zheng |
| author_sort | Peng Ruan |
| collection | DOAJ |
| description | As the share of renewable energy continues to increase, power grids face more complex challenges in maintaining the balance between supply and demand. Renewable energy is characterized by volatility, intermittency, and reverse peak regulation issues. These characteristics create additional difficulties for stable grid operation. Energy storage systems (ESSs) have emerged as an effective solution to these problems. Coordinated scheduling between energy storage systems and renewable energy power plants is essential. It improves the efficiency of storage utilization and enhances the flexibility of grid dispatch. This paper proposes an optimal configuration model for hybrid energy storage systems in scenarios with high renewable energy penetration. The model focuses on optimizing the interaction between renewable energy and storage systems. It plans the siting and capacity allocation of energy storage at renewable energy aggregation stations. The model considers multiple constraints, including power flow, unit commitment, and storage operation. Based on these constraints, it determines the optimal configuration of storage systems. The results aim to ensure both the stability of the power system and overall economic efficiency. |
| format | Article |
| id | doaj-art-b1f5cbec1d784b4683c7d540ca559f90 |
| institution | OA Journals |
| issn | 1996-1073 |
| language | English |
| publishDate | 2025-04-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Energies |
| spelling | doaj-art-b1f5cbec1d784b4683c7d540ca559f902025-08-20T01:49:24ZengMDPI AGEnergies1996-10732025-04-01189219610.3390/en18092196Optimal Siting and Sizing of Hybrid Energy Storage Systems in High-Penetration Renewable Energy SystemsPeng Ruan0Qili Su1Liuli Zhang2Jun Luo3Yuanpeng Diao4Li Xie5Hua Zheng6Research and Development Department, Pinggao Group Energy Storage Technology Co., Ltd., Tianjing 300384, ChinaResearch and Development Department, Pinggao Group Energy Storage Technology Co., Ltd., Tianjing 300384, ChinaResearch and Development Department, Pinggao Group Energy Storage Technology Co., Ltd., Tianjing 300384, ChinaResearch and Development Department, Pinggao Group Energy Storage Technology Co., Ltd., Tianjing 300384, ChinaElectrical and Electronic Engineering, North China Electric Power University, Beijing 102206, ChinaElectrical and Electronic Engineering, North China Electric Power University, Beijing 102206, ChinaElectrical and Electronic Engineering, North China Electric Power University, Beijing 102206, ChinaAs the share of renewable energy continues to increase, power grids face more complex challenges in maintaining the balance between supply and demand. Renewable energy is characterized by volatility, intermittency, and reverse peak regulation issues. These characteristics create additional difficulties for stable grid operation. Energy storage systems (ESSs) have emerged as an effective solution to these problems. Coordinated scheduling between energy storage systems and renewable energy power plants is essential. It improves the efficiency of storage utilization and enhances the flexibility of grid dispatch. This paper proposes an optimal configuration model for hybrid energy storage systems in scenarios with high renewable energy penetration. The model focuses on optimizing the interaction between renewable energy and storage systems. It plans the siting and capacity allocation of energy storage at renewable energy aggregation stations. The model considers multiple constraints, including power flow, unit commitment, and storage operation. Based on these constraints, it determines the optimal configuration of storage systems. The results aim to ensure both the stability of the power system and overall economic efficiency.https://www.mdpi.com/1996-1073/18/9/2196optimal configuration of hybrid energy storagehigh-penetration renewable energygrid dispatch flexibilityrenewable energy aggregation stationssiting and sizing model |
| spellingShingle | Peng Ruan Qili Su Liuli Zhang Jun Luo Yuanpeng Diao Li Xie Hua Zheng Optimal Siting and Sizing of Hybrid Energy Storage Systems in High-Penetration Renewable Energy Systems Energies optimal configuration of hybrid energy storage high-penetration renewable energy grid dispatch flexibility renewable energy aggregation stations siting and sizing model |
| title | Optimal Siting and Sizing of Hybrid Energy Storage Systems in High-Penetration Renewable Energy Systems |
| title_full | Optimal Siting and Sizing of Hybrid Energy Storage Systems in High-Penetration Renewable Energy Systems |
| title_fullStr | Optimal Siting and Sizing of Hybrid Energy Storage Systems in High-Penetration Renewable Energy Systems |
| title_full_unstemmed | Optimal Siting and Sizing of Hybrid Energy Storage Systems in High-Penetration Renewable Energy Systems |
| title_short | Optimal Siting and Sizing of Hybrid Energy Storage Systems in High-Penetration Renewable Energy Systems |
| title_sort | optimal siting and sizing of hybrid energy storage systems in high penetration renewable energy systems |
| topic | optimal configuration of hybrid energy storage high-penetration renewable energy grid dispatch flexibility renewable energy aggregation stations siting and sizing model |
| url | https://www.mdpi.com/1996-1073/18/9/2196 |
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